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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Live-Bed Scour Depth Modelling Around the Bridge Pier Using ANN-PSO, ANFIS, MARS, and M5Tree
Anubhav Baranwal, Bhabani Shankar Das
Water Resources Management (2024) Vol. 38, Iss. 12, pp. 4555-4587
Closed Access | Times Cited: 12

Showing 12 citing articles:

Discharge Prediction in Meandering Compound Channel Using ANN PSO and M5 Tree
Rajeev Nayan, Bhabani Shankar Das, Shashank Shekhar Sandilya, et al.
Lecture notes in civil engineering (2025), pp. 409-422
Closed Access
Comparison of the Effectiveness of Artificial Neural Networks and Elastic Net Regression in Surface Runoff Modeling
Jacek Dawidowicz, Rafał Buczyński
Water (2025) Vol. 17, Iss. 3, pp. 405-405
Open Access
Scour depth prediction around bridge abutments: A comprehensive review of artificial intelligence and hybrid models
Nadir Murtaza, Diyar Khan, A. Rezzoug, et al.
Physics of Fluids (2025) Vol. 37, Iss. 2
Closed Access
Scouring around bridge pier: A comprehensive review of countermeasure techniques
Anubhav Baranwal, Bhabani Shankar Das
Engineering Research Express (2024) Vol. 6, Iss. 2, pp. 022103-022103
Open Access | Times Cited: 3
Estimating equilibrium scour depth around non-circular bridge piers using interpretable hybrid machine learning models
Nasrin Eini, Saeid Janizadeh, Sayed M. Bateni, et al.
Ocean Engineering (2024) Vol. 312, pp. 119246-119246
Closed Access | Times Cited: 2
Optimizing silt density index prediction in water treatment systems using pressure-based gradient boosting hybridized with Salp Swarm Algorithm
Brahim Ouadi, Abdelwahhab Khatir, Erica Magagnini, et al.
Journal of Water Process Engineering (2024) Vol. 68, pp. 106479-106479
Open Access | Times Cited: 1
Predicting Equilibrium Scour Depth Around Non-Circular Bridge Piers with Shallow Foundations Using Hybrid Explainable Machine Learning Methods
Nasrin Eini, Saeid Janizadeh, Sayed M. Bateni, et al.
Results in Engineering (2024), pp. 103492-103492
Open Access | Times Cited: 1
Data-based models to investigate protective piles effects on the scour depth about oblong-shaped bridge pier
Ali Niknam, Mohammad Heidarnejad, Alireza Masjedi, et al.
Results in Engineering (2024) Vol. 23, pp. 102759-102759
Open Access | Times Cited: 1
Experimental study of the effect of non-structural materials on scouring of bridge piers with removal of river material: cationic polyacrylamide (PAM)
Rasoul Daneshfaraz, Mehdi Rezaie, Ehsan Aminvash, et al.
Innovative Infrastructure Solutions (2024) Vol. 9, Iss. 12
Closed Access
Modelling of Temporal Clear Water Scour Depth Around Bridge Piers Using XGBoost and SVM-PSO
Prince Gaurav, G. Lohith Reddy, Arun Baranwal, et al.
Lecture notes in civil engineering (2024), pp. 439-457
Closed Access
CFD Simulations of Local Scour Around Circular Piers Using k-ω Turbulence Model
Arun Baranwal, Bhabani Shankar Das
Lecture notes in civil engineering (2024), pp. 83-100
Closed Access
Modeling the rainfall–runoff process in the Bird Creek River Basin: a comparative analysis of conceptual and artificial neural network techniques
Vikas Kumar Vidyarthi
Journal of Hydroinformatics (2024)
Open Access
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